MOC 20774 - Perform Cloud Data Science with Azure Machine Learning

The main purpose of this Perform Cloud Data Science with Azure Machine Learning training class is to give students the ability to analyze and present data by using Azure Machine Learning, and to provide an introduction to the use of machine learning with big data tools such as HDInsight and R Services.

The primary audience for this course is people who wish to analyze and present data by using Azure Machine Learning. The secondary audience is IT professionals, Developers , and information workers who need to support solutions based on Azure machine learning.

Microsoft Certified Partner

Webucator is a Microsoft Certified Partner for Learning Solutions (CPLS). This class uses official Microsoft courseware and will be delivered by a Microsoft Certified Trainer (MCT).

Goals

Learn to explain machine learning, and how algorithms and languages are used.

Learn to describe the purpose of Azure Machine Learning, and list the main features of Azure Machine Learning Studio.

Upload and explore various types of data to Azure Machine Learning.

Explore and use techniques to prepare datasets ready for use with Azure Machine Learning.

Explore and use feature engineering and selection techniques on datasets that are to be used with Azure Machine Learning.

Explore and use regression algorithms and neural networks with Azure Machine Learning.

Explore and use classification and clustering algorithms with Azure Machine Learning.

Learn to use R and Python with Azure Machine Learning, and choose when to use a particular language.

Explore and use hyperparameters and multiple algorithms and models, and be able to score and evaluate models.

Explore how to provide end-users with Azure Machine Learning services, and how to share data generated from Azure Machine Learning models.

Explore and use the Cognitive Services APIs for text and image processing, to create a recommendation application, and describe the use of neural networks with Azure Machine Learning.

Explore and use HDInsight with Azure Machine Learning.

Explore and use R and R Server with Azure Machine Learning, and explain how to deploy and configure SQL Server to support R services .

Outline

Introduction to Machine Learning

What is machine learning?

Introduction to machine learning algorithms

Introduction to machine learning languages

Lab: Introduction to machine Learning

Sign up for Azure machine learning studio account

View a simple experiment from gallery

Evaluate an experiment

Introduction to Azure Machine Learning

Azure machine learning overview

Introduction to Azure machine learning studio

Developing and hosting Azure machine learning applications

Lab: Introduction to Azure machine learning

Explore the Azure machine learning studio workspace

Clone and run a simple experiment

Clone an experiment, make some simple changes, and run the experiment

Managing Datasets

Categorizing your data

Importing data to Azure machine learning

Exploring and transforming data in Azure machine learning

Lab: Managing Datasets

Prepare Azure SQL database

Import data

Visualize data

Summarize data

Preparing Data for use with Azure Machine Learning

Data pre-processing

Handling incomplete datasets

Lab: Preparing data for use with Azure machine learning

Explore some data using Power BI

Clean the data

Using Feature Engineering and Selection

Using feature engineering

Using feature selection

Lab: Using feature engineering and selection

Prepare datasets

Use Join to Merge data

Building Azure Machine Learning Models

Azure machine learning workflows

Scoring and evaluating models

Using regression algorithms

Using neural networks

Lab: Building Azure machine learning models

Using Azure machine learning studio modules for regression

Create and run a neural-network based application

Using Classification and Clustering with Azure machine learning models

Using classification algorithms

Clustering techniques

Selecting algorithms

Lab: Using classification and clustering with Azure machine learning models

Using Azure machine learning studio modules for classification.

Add k-means section to an experiment

Add PCA for anomaly detection.

Evaluate the models

Using R and Python with Azure Machine Learning

Using R

Using Python

Incorporating R and Python into Machine Learning experiments

Lab: Using R and Python with Azure machine learning

Exploring data using R

Analyzing data using Python

Initializing and Optimizing Machine Learning Models

Using hyper-parameters

Using multiple algorithms and models

Scoring and evaluating Models

Lab: Initializing and optimizing machine learning models

Using hyper-parameters

Using Azure Machine Learning Models

Deploying and publishing models

Consuming Experiments

Lab: Using Azure machine learning models

Deploy machine learning models

Consume a published model

Using Cognitive Services

Cognitive services overview

Processing language

Processing images and video

Recommending products

Lab: Using Cognitive Services

Build a language application

Build a face detection application

Build a recommendation application

Using Machine Learning with HDInsight

Introduction to HDInsight

HDInsight cluster types

HDInsight and machine learning models

Lab: Machine Learning with HDInsight

Provision an HDInsight cluster

Use the HDInsight cluster with MapReduce and Spark

Using R Services with Machine Learning

R and R server overview

Using R server with machine learning

Using R with SQL Server

Lab: Using R services with machine learning

Deploy DSVM

Prepare a sample SQL Server database and configure SQL Server and R

Use a remote R session

Execute R scripts inside T-SQL statements

Class Materials

Each student in our Live Online and our Onsite classes receives a comprehensive set of materials, including course notes and all the class examples.

Class Prerequisites

Experience in the following is required for this Microsoft Big Data class:

Programming experience using R, and familiarity with common R packages.

Knowledge of common statistical methods and data analysis best practices.

Basic knowledge of the Microsoft Windows operating system and its core functionality.

What people say about our training

Great class. Thank you!

Harriet Tsen

Bonneville Power Administration

There aren't many times when it comes to training that you leave the training with the knowledge to confidently apply what you've learned...Webucator is one of the few companies that will get you there…!!!

Jonathan Fantroy

Bell Helicopter

This course was very helpful in reinforcing and building a solid base of SQL knowledge.